ARTIFICIAL NEURAL NETWORKS
The ANN technique is an artificial intelligence technique that attempts to mimic the human brain's problem solving capabilities. ANNs use interconnected processing units (neurons) to learn patterns and relationships contained within a set of data. The ANN technology can be applied in a number of tasks that are computationally complex, including pattern classification, function approximation, prediction and forecasting, and intelligent process control.

The ANN experts in drinking water supply
Applications of ANNs
  • Water quality modelling
  • Process modelling
  • Water demand forecasting
  • Revenue forecasting
  • Analysis of pilot-scale data
  • Data classification, cleansing, mining
  • Virtual (soft) sensing
  • Risk analysis
  • Offline and online process control tools
  • Operator training
  • Model-based advanced process control

 

Advantages of ANNs

  • Suitable for nonlinear and real-time modelling
  • Fault tolerant, fast, and flexible
  • Developed using existing data
  • No scale-up concerns
  • No complicated programming or algorithms to understand
 

ANN prediction of the impacts of chemical dosing on clarifier effluent turbidity

Categorization of influent water quality to improve operations

Flexible integration into real-time control